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Küchemann, Stefan ORCID logoORCID: https://orcid.org/0000-0003-2729-1592; Avila, Karina E.; Dinc, Yavuz; Hortmann, Chiara; Revenga, Natalia; Ruf, Verena; Stausberg, Niklas ORCID logoORCID: https://orcid.org/0009-0000-1530-4750; Steinert, Steffen ORCID logoORCID: https://orcid.org/0000-0001-6364-934X; Fischer, Frank; Fischer, Martin ORCID logoORCID: https://orcid.org/0000-0002-5299-5025; Kasneci, Enkelejda; Kasneci, Gjergji; Kuhr, Thomas ORCID logoORCID: https://orcid.org/0000-0001-6251-8049; Kutyniok, Gitta ORCID logoORCID: https://orcid.org/0000-0001-9738-2487; Malone, Sarah ORCID logoORCID: https://orcid.org/0000-0001-8610-2611; Sailer, Michael ORCID logoORCID: https://orcid.org/0000-0001-6831-5429; Schmidt, Albrecht; Stadler, Matthias ORCID logoORCID: https://orcid.org/0000-0001-8241-8723; Weller, Jochen und Kuhn, Jochen ORCID logoORCID: https://orcid.org/0000-0002-6985-3218 (2025): On opportunities and challenges of large multimodal foundation models in education. In: npj Science of Learning, Bd. 10, Nr. 1

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Abstract

Recently, the option to use large language models as a middleware connecting various AI tools and other large language models led to the development of so-called large multimodal foundation models, which have the power to process spoken text, music, images and videos. In this overview, we explain a new set of opportunities and challenges that arise from the integration of large multimodal foundation models in education.

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